Linear Regression Model
Y ~ X
coefficients:
	Estimate	Std. Error	t value	Pr(>|t|)
(Intercept)	10.278	1.42	7.237	0
X	4.919	0.393	12.525	0
- - -
Residual Std. Err.	2.316 on 13 df
Multiple R-sq.	0.923
Adjusted R-sq.	0.918

ANOVA Statistics
	Df	Sum Sq	Mean Sq	F value	Pr(>F)
afstand	1	841.766	841.766	156.886	0
Residuals	13	69.751	5.365